June 14 to June 27, 2020 | UQAM | Virtual event
Join our Slack Channel (check email)
Add your projet idea to the google sheet (check email)
GitHub: In this virtual event, many participants at SICSS use GitHub to collaborate. If you do not yet have one, you should create a GitHub account. If you are a student, we recommend that you apply for a GitHub Student Developer Pack.
Daily feedback: Please fill out this Google form after class.
Monday: Ethics : Part 1 & 2
Tuesday: Collecting Digital Trace Data
Wednesday: Automated Text Analysis
Thursday: Surveys in the Digital Age
Friday: Machine Learning and Social Network Analysis
Discussion Sessions
SICSS Learning materials will be covered during the discussion sessions. Participants will be expected to watch the relevant vidoes on the website before coming to the discussion session. Relevant links can be found on the schedule. The aim is to underline important points in the materials, to discuss participant’s questions and to prepare participants for Exercises sessions.
ADVANCE watch Ethics : Part 1 & 2
10:00 - 10:30 Introduction to SICSS and logistics by Dr. Vissého Adjiwanou in Zoom
10:30 - 11:30 Small group discusions English lesson plan or French lesson plan in Zoom break-out rooms
11:30 - 12:00 Break
12:00 - 1:00 Small group lunches (optional) in Zoom break-out rooms
1:00 - 1:30 Break
1:30 - 1:45 Introduction to the group exercise English lesson plan (participants) or French lesson plan (participants) in Zoom full group
1:45 - 2:45 Small group discussion of Case study in Zoom break-out rooms
2:45 - 3:15 Whole group debrief about case study in Zoom full group
3:15 - 3:45 Debrief and logistics in Zoom full group
ADVANCE watch Collecting Digital Trace Data
10:00 - 10:15 Logistics and Intro to Group Exercise (English version) or French version in Zoom full group
10:15 - 11:30 Small group discussions for designing a Research Question with Digital Trace Data in Zoom break-out rooms
11:30 - 12:00 Break
12:00 - 1:00 Small group lunches (optional) in Zoom break-out rooms
1:00 - 1:15 Break
1:15 - 1:30 Introduction to the Group Exercise (English version) or French version in Zoom full group
1:30 - 3:00 Group Exercise (English version) or French version (collecting Digital Trace Data) in Zoom break-out rooms
3:00 - 3:30 Whole group debrief about group exercise (Strengths & Benefits plus Hybrid Designs) in Zoom full group
3:30 - 3:45 Debrief and logistics in Zoom full group
4:00 - 5:30 Guest speaker : Stephane Helleringer : Computer vision methods to improve age measurement in low-income countries (in Zoom full group)
ADVANCE watch Automated Text Analysis
10:00 - 10:15 Logistics and Intro to Group Exercise in Zoom full group
10:15 - 11:30 Small group discussions in Zoom break-out rooms
11:30 - 12:00 Break
12:00 - 1:00 Small group lunches (optional) in Zoom break-out rooms
1:00 - 1:15 Break
1:15 - 1:30 Introduction to the group exercise in Zoom full group
1:30 - 3:00 Group exercise in Zoom break-out rooms
3:00 - 3:30 Whole group debrief about the group exercise in Zoom full group
3:30 - 3:45 Debrief and logistics in Zoom full group
4:00 - 5:30 Possible guest speaker in Zoom full group
ADVANCE watch Surveys in the Digital Age
10:00 - 10:15 Logistics in Zoom full group
10:15 - 10:30 Introduction to the Group Exercise in Zoom full group
10:30 - 11:30 Morning group exercise in Zoom break-out rooms
11:30 - 12:00 Break
12:00 - 1:00 Small group lunches (optional) in Zoom break-out rooms
1:00 - 1:15 Break
1:15 - 3:00 Afternoon group exercise in Zoom break-out rooms
3:00 - 3:30 Whole group debrief about group exercise in Zoom full group
3:30 - 3:45 Debrief and logistics in Zoom full group
4:00 - 5:30 Guest speaker : Will Hamilton : Graph embeddings for large-scale social applications (in Zoom full group)
ADVANCE watch Machine Learning
ADVANCE watch Social Network Analysis
10:00 - 10:15 Lecture: Introduction to machine learning by Will Hamilton in Zoom full group
10:15 - 11:00 Lecture: Linear regression by Will Hamilton in Zoom full group
11:00 - 11:30 Interactive exercise: Predicting house prices in Zoom break-out rooms
11:30 - 12:00 Lecture: Features and overfitting in by Will Hamilton in Zoom full group
12:00 - 1:30 Small group lunches (optional) in Zoom full group
1:30 - 2:30 Lecture: Classification and neural networks by Will Hamilton in Zoom full group
2:30 - 4:00 Interactive exercise: Text classification in Zoom break-out rooms
4:00 - 4:30 Debrief and logistics in Zoom full group
Projects
This week will be only devoted to work on group projects or individual projects. Participants will be expected to report their progressions every morning and to present their results at the end of the week.
SICSS Festival
SICSS-Duke will organize The SICSS Festival in which alumni from all SICSS locations are hosting events such as tutorials, panel discussions, or debates. The only requirement to participate SICSS-Festival is filling the registration form. Detailed information can be found in its website.
Festival: 12:00 - 1:00 Panel discussion on teaching computational social science. Registered form (optional).
10:00 - 10:15 Research Speed Dating Logistics (in Zoom full group), Slides for Instructors.
10:15 - 12:00 Group Work projects time in Zoom break-out rooms.
12:00 - 1:30 Small group lunches (optional) in Zoom full group.
1:30 - 4:00 Group Work projects time in Zoom break-out rooms.
4:00 - 4:30 Debrief and logistics in Zoom full group.
Festival: 1:00-2:00 Measuring cultural change in digital trace data using diversification rates. Registered form (optional).
Festival: 3:30 - 4:30 Computational social science to address the (post) COVID-19 reality. Registered participants (optional).
10:00 - 10:15 Logistics (in Zoom full group).
10:15 - 12:00 Group Work projects time in Zoom break-out rooms.
12:00 - 1:30 Small group lunches (optional) in Zoom full group.
1:30 - 4:00 Group Work projects time in Zoom break-out rooms.
4:00 - 4:30 Debrief and logistics in Zoom full group.
Festival: 10:00-11:15 Computational social science to address the (post) COVID-19 reality. Registered form (optional).
Festival: 11:30-12:30 Panel discussion on digital and computational demography. Registered form (optional)
Festival: 1-2:30 Using Empirica for high-throughput virtual lab experiments (Session 1). Registered form (optional)
10:00 - 10:15 Logistics (in Zoom full group).
10:15 - 12:00 Group Work projects time in Zoom break-out rooms.
12:00 - 1:30 Small group lunches (optional) in Zoom full group.
1:30 - 4:00 Group Work projects time in Zoom break-out rooms.
4:00 - 4:30 Debrief and logistics in Zoom full group.
Festival: 11:00-12:00 Creating open source software as part of an academic career. Registered participants (optional).
Festival: 12:30-2:00 Panel discussion on the non-academic job market in computational social science. Registered participants (optional).
Festival: 2:00-3:00 What Can the SICSS Community Do to Recognize and Eradicate Anti-Black Racism in Computational Social Science?. Registered participants (optional).
10:00 - 10:15 Logistics (in Zoom full group).
10:15 - 12:00 Group Work projects time in Zoom break-out rooms.
12:00 - 1:30 Small group lunches (optional) in Zoom full group.
1:30 - 4:00 Group Work projects time in Zoom break-out rooms.
4:00 - 4:30 Debrief and logistics in Zoom full group.
Festival: 10:00-11:00 Opportunities and challenges with industry collaborations. Registered participants (optional).
Festival: 10:00-11:30 Using Empirica for high-throughput virtual lab experiments (Session 2). Registered participants (optional).
10:00 - 10:15 Logistics (in Zoom full group).
10:15 - 12:00 Present group projects in Zoom break-out rooms.
12:00 - 1:30 Small group lunches (optional) in Zoom full group.
1:30 - 3:30 Present group projects in Zoom break-out rooms.
3:30 - 4:00 Debrief and conclusion in Zoom full group.
You can host a partner location of the Summer Institutes of Computational Social Science (SICSS) at your university, company, NGO, or government agency.